
Job Title: Data Architect - Azure DevOps
Job Location: Mumbai (Andheri East)
About the company:
MIRACLE HUB CLIENT, is a predictive analytics and artificial intelligence company headquartered in Boston, US with offices across the globe. We build prediction models and algorithms to solve high priority business problems. Working across multiple industries, we have designed and developed breakthrough analytic products and decision-making tools by leveraging predictive analytics, AI, machine learning, and deep domain expertise.
Skill-sets Required:
- Design Enterprise Data Models
- Azure Data Specialist
- Security and Risk
- GDPR and other compliance knowledge
- Scrum/Agile
Job Role:
- Design and implement effective database solutions and models to store and retrieve company data
- Examine and identify database structural necessities by evaluating client operations, applications, and programming.
- Assess database implementation procedures to ensure they comply with internal and external regulations
- Install and organize information systems to guarantee company functionality.
- Prepare accurate database design and architecture reports for management and executive teams.
Desired Candidate Profile:
- Bachelor’s degree in computer science, computer engineering, or relevant field.
- A minimum of 3 years’ experience in a similar role.
- Strong knowledge of database structure systems and data mining.
- Excellent organizational and analytical abilities.
- Outstanding problem solver.
- IMMEDIATE JOINING (A notice period of 1 month is also acceptable)
- Excellent English communication and presentation skills, both verbal and written
- Charismatic, competitive and enthusiastic personality with negotiation skills
Compensation: NO BAR .

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Key Qualifications :
- At least 2 years of hands-on experience with cloud infrastructure on AWS or GCP
- Exposure to configuration management and orchestration tools at scale (e.g. Terraform, Ansible, Packer)
- Knowledge in DevOps tools (e.g. Jenkins, Groovy, and Gradle)
- Familiarity with monitoring and alerting tools(e.g. CloudWatch, ELK stack, Prometheus)
- Proven ability to work independently or as an integral member of a team
Preferable Skills :
- Familiarity with standard IT security practices such as encryption, credentials and key management
- Proven ability to acquire various coding languages (Java, Python- ) to support DevOps operation and cloud transformation
- Familiarity in web standards (e.g. REST APIs, web security mechanisms)
- Multi-cloud management experience with GCP / Azure
- Experience in performance tuning, services outage management and troubleshooting
LogiNext is looking for a technically savvy and passionate Junior DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.
Knowledge in building secure, high-performing and scalable infrastructure. Experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.
Responsibilities:
Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 0 to 1 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Knowledge in Linux/Unix Administration and Python/Shell Scripting Experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Knowledge in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills
Key Responsibilities:-
• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution
• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code
• Design, develop and maintain the framework for the analytical pipeline
• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation
• Provide input and help implement framework and tools to improve data quality
• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group
• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog
- Understanding of maintenance of existing systems (Virtual machines), Linux stack
- Experience running, operating and maintainence of Kubernetes pods
- Strong Scripting skills
- Experience in AWS
- Knowledge of configuring/optimizing open source tools like Kafka, etc.
- Strong automation maintenance - ability to identify opportunities to speed up build and deploy process with strong validation and automation
- Optimizing and standardizing monitoring, alerting.
- Experience in Google cloud platform
- Experience/ Knowledge in Python will be an added advantage
- Experience on Monitoring Tools like Jenkins, Kubernetes ,Terraform etc
Job Description
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Intuitive is looking for highly talented hands on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.
Key Responsibilities and Must-have skills:
- Lead the pre-sales (25%) to post-sales (75%) efforts building Public/Hybrid Cloud solutions working collaboratively with Intuitive and client technical and business stakeholders
- Be a customer advocate with obsession for excellence delivering measurable success for Intuitive’s customers with secure, scalable, highly available cloud architecture that leverage AWS Cloud services
- Experience in analyzing customer's business and technical requirements, assessing existing environment for Cloud enablement, advising on Cloud models, technologies and risk management strategies
- Apply creative thinking/approach to determine technical solutions that further business goals and align with corporate technology strategies
- Extensive experience building Well Architected solutions in-line with AWS cloud adoption framework (DevOps/DevSecOps, Database/Data Warehouse/Data Lake, App Modernization/Containers, Security, Governance, Risk, Compliance, Cost Management and Operational Excellence)
- Experience with application discovery preferably with tools like Cloudscape, to discover application configurations , databases, filesystems, and application dependencies
- Experience with Well Architected Review, Cloud Readiness Assessments and defining migration patterns (MRA/MRP) for application migration e.g. Re-host, Re-platform, Re-architect etc
- Experience in architecting and deploying AWS Landing Zone architecture with CI/CD pipeline
- Experience on architecture, design of AWS cloud services to address scalability, performance, HA, security, availability, compliance, backup and DR, automation, alerting and monitoring and cost
- Hands-on experience in migrating applications to AWS leveraging proven tools and processes including migration, implementation, cutover and rollback plans and execution
- Hands-on experience in deploying various AWS services e.g. EC2, S3, VPC, RDS, Security Groups etc. using either manual or IaC, IaC is preferred
- Hands-on Experience in writing cloud automation scripts/code such as Ansible, Terraform, CloudFormation Template (AWS CFT) etc.
- Hands-on Experience with application build/release processes CI/CD pipelines
- Deep understanding of Agile processes (planning/stand-ups/retros etc), and interact with cross-functional teams i.e. Development, Infrastructure, Security, Performance Engineering, and QA
Additional Requirements:
- Work with Technology leadership to grow the Cloud & DevOps practice. Create cloud practice collateral
- Work directly with sales teams to improve and help them drive the sales for Cloud & DevOps practice
- Assist Sales and Marketing team in creating sales and marketing collateral
- Write whitepapers and technology blogs to be published on social media and Intuitive website
- Create case studies for projects successfully executed by Intuitive delivery team
- Conduct sales enablement sessions to coach sales team on new offerings
- Flexibility with work hours supporting customer’s requirement and collaboration with global delivery teams
- Flexibility with Travel as required for Pre-sales/Post-sales, Design workshops, War-room Migration events and customer meetings
- Strong passion for modern technology exploration and development
- Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
- Experience with Multi-cloud (Azure, GCP, OCI) is a big plus
- Experience with VMware Cloud Foundation as well as Advanced Windows and Linux Engineering is a big plus
- Experience with On-prem Data Engineering (Database, Data Warehouse, Data Lake) is a big plus
Azure DeVops
On premises to Azure Migration
Docker, Kubernetes
Terraform CI CD pipeline
9+ Location
Budget – BG, Hyderabad, Remote , Hybrid –
Budget – up to 30 LPA
JOB RESPONSIBILITIES:
- Responsible for design, implementation, and continuous improvement on automated CI/CD infrastructure
- Displays technical leadership and oversight of implementation and deployment planning, system integration, ongoing data validation processes, quality assurance, delivery, operations, and sustainability of technical solutions
- Responsible for designing topology to meet requirements for uptime, availability, scalability, robustness, fault tolerance & security
- Implement proactive measures for automated detection and resolution of recurring operational issues
- Lead operational support team manage incidents, document root cause and tracking preventive measures
- Identifying and deploying cybersecurity measures by continuously validating/fixing vulnerability assessment reports and risk management
- Responsible for the design and development of tools, installation procedures
- Develops and maintains accurate estimates, timelines, project plans, and status reports
- Organize and maintain packaging and deployment of various internal modules and third-party vendor libraries
- Responsible for the employment, timely performance evaluation, counselling, employee development, and discipline of assigned employees.
- Participates in calls and meetings with customers, vendors, and internal teams on regular basis.
- Perform infrastructure cost analysis and optimization
SKILLS & ABILITIES
Experience: Minimum of 10 years of experience with good technical knowledge regarding build, release, and systems engineering
Technical Skills:
- Experience with DevOps toolchains such as Docker, Rancher, Kubernetes, Bitbucket
- Experience with Apache, Nginx, Tomcat, Prometheus ,Grafana
- Ability to learn/use a wide variety of open-source technologies and tools
- Sound understanding of cloud technologies preferably AWS technologies
- Linux, Windows, Scripting, Configuration Management, Build and Release Engineering
- 6 years of experience in DevOps practices, with a good understanding of DevOps and Agile principles
- Good scripting skills (Python/Perl/Ruby/Bash)
- Experience with standard continuous integration tools Jenkins/Bitbucket Pipelines
- Work on software configuration management systems (Puppet/Chef/Salt/Ansible)
- Microsoft Office Suite (Word, Excel, PowerPoint, Visio, Outlook) and other business productivity tools
- Working knowledge on HSM and PKI (Good to have)
Location:
- Bangalore
Experience:
- 10 + Years.
Profile: DevOps Engineer
Experience: 5-8 Yrs
Notice Period: Immediate to 30 Days
Job Descrtiption:
Technical Experience (Must Have):
Cloud: Azure
DevOps Tool: Terraform, Ansible, Github, CI-CD pipeline, Docker, Kubernetes
Network: Cloud Networking
Scripting Language: Any/All - Shell Script, PowerShell, Python
OS: Linux (Ubuntu, RHEL etc)
Database: MongoDB
Professional Attributes: Excellent communication, written, presentation,
and problem-solving skills.
Experience: Minimum of 5-8 years of experience in Cloud Automation and
Application
Additional Information (Good to have):
Microsoft Azure Fundamentals AZ-900
Terraform Associate
Docker
Certified Kubernetes Administrator
Role:
Building and maintaining tools to automate application and
infrastructure deployment, and to monitor operations.
Design and implement cloud solutions which are secure, scalable,
resilient, monitored, auditable and cost optimized.
Implementing transformation from an as is state, to the future.
Coordinating with other members of the DevOps team, Development, Test,
and other teams to enhance and optimize existing processes.
Provide systems support, implement monitoring and logging alerting
solutions that enable the production systems to be monitored.
Writing Infrastructure as Code (IaC) using Industry standard tools and
services.
Writing application deployment automation using industry standard
deployment and configuration tools.
Design and implement continuous delivery pipelines that serve the
purpose of provisioning and operating client test as well as production
environments.
Implement and stay abreast of Cloud and DevOps industry best practices
and tooling.
- Development and maintenance of Continuous Integration System on JENKINS.
- Build management for the planned major/minor releases
- Release process management and maintenance
- Enhancement and development of build/release system features.
Required Qualifications:
- 2 - 3 years relevant work experience in Jenkins / Scripting / C / Linux
- Expertise in scripting languages like a shell, python, etc
- Work experience in handling Make/CMake build systems
- Expertise in GIT source revision control
- Experience with Yocto build systems and recipes
As an Infrastructure Engineer at Navi, you will be building a resilient infrastructure platform, using modern Infrastructure engineering practices.
You will be responsible for the availability, scaling, security, performance and monitoring of the navi Cloud platform. You’ll be joining a team that follows best practices in infrastructure as code
Your Key Responsibilities
- Build out the Infrastructure components like API Gateway, Service Mesh, Service Discovery, container orchestration platform like kubernetes.
- Developing reusable Infrastructure code and testing frameworks
- Build meaningful abstractions to hide the complexities of provisioning modern infrastructure components
- Design a scalable Centralized Logging and Metrics platform
- Drive solutions to reduce Mean Time To Recovery(MTTR), enable High Availability.
What to Bring
- Good to have experience in managing large scale cloud infrastructure, preferable AWS and Kubernetes
- Experience in developing applications using programming languages like Java, Python and Go
- Experience in handling logs and metrics at a high scale.
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.

